International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 11 Issue: 02 | Feb 2024 www.irjet.net p-ISSN: 2395-0072
Location Based Plant Selection through Augmented Reality
Rutuja
Shinde1 , Aishwarya Raut2 , Apeksha Arjun3, Harshada Bankar4, Shrikant Dhage5
1 Student, Dept. of Computer Engineering, VPKBIET Baramati, Maharashtra, India
2 Student, Dept. of Computer Engineering, VPKBIET Baramati, Maharashtra, India
3 Student, Dept. of Computer Engineering, VPKBIET Baramati, Maharashtra, India
4 Student, Dept. of Computer Engineering, VPKBIET Baramati, Maharashtra, India
5 Assi. Professor, Dept. of Computer Engineering, VPKBIET Baramati, Maharashtra, India
Abstract - Thisreviewpaperdelvesintotheconvergenceof cuttingedgeaugmentedreality(AR)technologyandlocationbased services for the refinement of plant selection in residentialanddecorativecontexts.Theneedforinformedand visually captivating plant choices becomes paramount in interior and exterior design. This paper conducts an exhaustive survey of the current landscape of AR applications in design aesthetics, spotlighting the emerging paradigm of location-based plant selection tailored for decorative purposes.
Thisproject aimstorevolutionizethewaypeopleselectand care for plants by leveraging augmented reality (AR) technology. With the increasing popularity of indoor and outdoor gardening, our system provides a user-friendly AR interface that allows individuals to identify and choose the perfect plants for their specific location. By simply pointing their mobile device at a spot, our AR app provides real-time information on the best plant options based on factors like sunlight, soil type, climate, and available space. Users can visualize how selected plants will look in their environment andreceivecareinstructions.OnlineE-commerceapplication is a multi-user software where users can log in and buy differentproductsonline. Our project aimstoallowcustomers to preview products or experience services in their own environmentandontheirowntime, beforeelectingto makea purchase.
Key Words: Augmented Reality (AR), User Interface (UI), Virtual Plant Selection, E- commerce Web Application, COM Algorithm.
1.INTRODUCTION
The location-based plant selection through augmented reality (AR) in the context of an e-commerce application represents a groundbreaking fusion of technology and nature. In the digital age, where online shopping is increasingly prevalent, this innovative approach revolutionizesthewayindividualsengagewithandpurchase plants.Byleveragingthepowerofaugmentedreality,users cantranscendthetraditionallimitationsofonlineshopping andmakeinformeddecisionsaboutplantselectionbasedon theirspecificgeographicallocation
Thesignificanceofthisprojectliesinitsabilitytobridgethe gapbetweenthevirtualandphysicalworlds,offeringusersa uniqueandimmersiveexperience.Traditionalonlineplant shopping often lacks the personalized touch of physically examiningandplacingplantsinone’slivingspace.However, withtheintegrationofaugmentedreality,userscanvirtually visualize how different plants would look in their specific environment, taking into account factors such as sunlight, space,andoverallaesthetics.Thisproject’spotentialimpact isfar-reaching.Itnotonlyenhancestheuserexperiencein plantselectionbutalsocontributestothebroadergoalsof environmental sustainability and urban greening. By encouraging users to explore and incorporate a variety of plants into their surroundings, the application promotes biodiversity, improves air quality, and fosters a deeper connectionbetweenindividualsandnature.
Fig -1:FlowChartofSystem
Furthermore,theintegrationofane-commerceplatform adds a layer of convenience, allowing users to seamlessly transition from selecting and visualizing plants to making secure online purchases. This could potentially lead to increased interest in gardening and plant ownership, fostering a community of plant enthusiasts. The implementationoftheapplicationmergesa3Dviewofthe
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 11 Issue: 02 | Feb 2024 www.irjet.net p-ISSN: 2395-0072
plantusinglocation-basedARandonlinemoneytransaction features to present the most suitable solution to the problem.Theimplementationprovidesvariousfeaturesto the users so that they can also check how it would look, beforebuyingit.Anonlinepaymentoptionisalsoavailable tosolvetheproblemofphysicaltransactionsofmoney.It’s likehavingatoolthathelpsprofessionalscreatebetterand moreeco-friendlylandscapesforeveryonetoenjoy.
Inessence,thelocation-basedplantselectionthroughAR standsattheintersectionoftechnology,userexperience,and environmental consciousness, offering a trans-formative wayforindividualstoconnectwithandcultivatetheirliving spaces.
2. METHODOLOGY
Concurrent Odometry & Mapping Algorithm
ImplementingARCoreConcurrentOdometryandMapping (COM) algorithms in AR-based online shopping web applications offers a significant enhancement to the user experience and spatial understanding. The concurrent operation of odometry and mapping allows for more accuratetrackingoftheuser’ssurroundingsinreal-time.In an online shopping context, this technology could be leveraged to provide users with a highly immersive and context-awareaugmentedrealityexperience.
Concurrentodometryandmappingalgorithmsareused inroboticsforsimultaneouslocalizationandmappingtasks. Theprimarygoalofsuchalgorithmsistoenablearobotto build a map of its environment while simultaneously estimatingitsownpositionwithinthatenvironment.
ARCore likely employs SLAM techniques to create and updatea3Dmapoftheenvironment.Concurrentmapping involvesbuildingandupdatingthismapconcurrentlywith estimating the camera pose. The ARCore Concurrent Odometry and Mapping algorithm, developed by Google, combinesvisualodometryandsimultaneouslocalizationand mapping(SLAM)techniques.Visual odometry enablesthe system to estimate the device’s movement by analyzing changes in the visual scene captured by the camera. Simultaneously,mappingconstructsandrefinesa3Dmodel of the environment as the user moves through it. This concurrentapproachenhancestrackingaccuracy,especially in dynamic environments common in online shopping scenarios.
Working
SensorDataFusion:Thealgorithmtypicallyfusesdatafrom multiple sensors, such as wheel encoders, inertial measurement units (IMUs), cameras, lidars, or depth sensors.Eachsensorprovidesdifferenttypesofinformation, suchasodometry(movementestimates),visualfeatures,or depthmeasurements.
Fig -1:ARCoreCOMAlgorithm
StateEstimation:Thealgorithmmaintainsanestimateofthe robot’scurrentstate,includingitsposition,orientation,and velocity. This estimate is usually represented as a probabilisticdistribution,suchasaGaussiandistribution,and is updated over time based on sensor measurements and motionmodels.
Mapping:Concurrentlywithstateestimation,thealgorithm buildsamapoftheenvironmentusingsensordata.Thismap canberepresentedinvariousforms,suchasoccupancygrids, feature maps, or point clouds, depending on the type of sensordataavailable.
Sensor Fusion and Optimization: The algorithm integrates sensor measurements and motion models into a unified estimation framework using techniques such as Kalman filtering,particlefiltering(e.g.,MonteCarlolocalization),or graph-based optimization (e.g., pose graph optimization). This step involves combining odometry data with measurementsfromothersensorstorefinetherobot’spose estimateandupdatethemap.
Loop Closure Detection: To improve map consistency and accuracy, the algorithm may incorporate loop closure detection techniques to identify and correct errors in the estimatedtrajectory.Thisinvolvesdetectingwhentherobot revisitspreviouslyvisitedlocationsbasedonsensordataand matchingfeaturesorlandmarksbetweendifferentpartsof themap.
Online Operation: The algorithm operates in real-time, continuouslyprocessingsensordataandupdatingtherobot’s state estimate and map as it navigates through the environment. This requires efficient data processing and computational techniques to handle the high-dimensional, noisy sensor data typically encountered in robotic SLAM applications.
Volume: 11 Issue: 02 | Feb 2024 www.irjet.net p-ISSN: 2395-0072
Fig -1:VisualizeplantusingARFeature
Foranonlineshoppingwebapplication,integratingARCore COM can revolutionize the product visualization process. Userscanviewvirtualproductsintheirphysicalspacewith remarkable precision. The algorithm’s real-time mapping capabilities enable persistent object placement, allowing users to leave and return to their augmented shopping environmentseamlessly.
This technology has the potential to boost user engagement and confidence in purchasing decisions by providing a more realistic and contextually aware representationofvirtualproducts.However,it’sessentialto consider potential challenges, such as computational intensity and device compatibility, when implementing ARCoreCOMinaweb-basedenvironment.Nonetheless,the benefits of a more accurate and immersive augmented reality experience make it a promising avenue for the evolutionofonlineshoppingapplications.
3. ARCHITECTURE
The AR-based online plants shopping web application is built on a modern and scalable architecture designed to seamlesslyintegrateaugmentedrealityintotheuser’sonline shoppingexperience.Atitscore,theapplicationemploysa microservices architecture, allowing for modular developmentandflexibility.Thefrontendisdevelopedusing popular web technologies, ensuring compatibility across devices. The application relies on ARCore’s Concurrent Odometry and Mapping (COM) algorithm for accurate tracking and mapping of the user’s environment. The backend incorporates a robust database to manage plant information,userprofiles,andorderhistory.
-5:ArchitectureofSystem
APIs facilitate communication between the front end, AR features, and the backend. Location-based plant selection throughaugmentedrealityinvolvestheintegrationofdigital information and virtual elements into the physical environment, creating an immersive and contextually relevantexperienceforusers.Thisinnovativearchitectural approach leverages the precise positioning capabilities of augmented reality (AR) technologies to overlay data, graphics,andinteractivecontentontoreal-worldlocations. Securitymeasures,includingencryptionandauthentication protocols, are implemented to ensure user data privacy. Cloud services are leveraged for scalable storage and computing power, optimizing performance. The overall architecture prioritizes a user-centric design, offering a seamless blend of augmented reality and e-commerce functionalities for an immersive and efficient online plant shoppingexperience.
CONCLUSION
The location-based plant selection through augmented reality application not only revolutionizes the way people approach gardening but also fosters a deeper connection betweenindividualsandthenaturalworld.ARenablesusers tovisualizehowdifferentplantswouldlookintheiractual surroundingsinrealtime.Thisvisualizationcanhelpusers make informed decisions about the placement and arrangementofplants,allowingthemtodesigntheirgardens orlandscapesmoreeffectively.
Augmented reality allows users to visualize plants in theirrealsurroundings,helpingthemmakewell-informed decisionsbasedontheirpreferencesandspaceconstraints. Thescopeoflocation-basedplantselectionthroughARin ecommerceisvast,offeringanopportunitytotransformhow customers engage with plants online. By providing personalized, interactive, and educational experience, this integration holds the potential to enhance customer
Fig
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 11 Issue: 02 | Feb 2024 www.irjet.net p-ISSN: 2395-0072
satisfaction, promote sustainability, and drive business growth.
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